Discriminative density propagation for 3D human motion estimation

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn I, Issue , 2005, Pages 390-397

  Sminchisescu, Cristian ^a   Kanaujia, Atul ^b   Li, Zhiguo ^b   Metaxas, Dimitris ^b  

^a UNIVERSITY OF TORONTO   (Canada)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

3D human tracking; Bayesian methods; Density propagation; Hierarchical mixture of experts; Mixture modeling; Sparse regression

Indexed keywords

ALGORITHMS; INFERENCE ENGINES; MAPPING; PROBABILITY; THREE DIMENSIONAL COMPUTER GRAPHICS; TRACKING (POSITION);

BAYESIAN MIXTURE; CAPTURE-BASED TEST SEQUENCES; PERCEPTION INFERENCES; PROBABILISTIC INVERSION;

MOTION ESTIMATION;

EID: 24644445659     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.132     Document Type: Conference Paper

References (29)

1. CMU Human Motion Capture DataBase. Available online at http://mocap.cs.cmu.edu/search.html, 2003.
2. A. Agarwal and B. Triggs. 3d human pose from silhouettes by Relevance Vector Regression. In CVPR, 2004.
3. F. Aherne, N. Thacker, and P. Rocket. Optimal pairwise geometric histograms. In British Machine Vision Conference, 1997.
4. A. Athistos and S. Sclaroff. Estimating 3d hand pose from a cluttered image. In ICCV, 2003.
5. S. Belongie, J. Malik, and J. Puzicha. Shape matching and object recognition using shape contexts. PAMI, 24, 2002.
6. C. Bishop and M. Svensen. Bayesian mixtures of experts. In UAI, 2003.
7. M. Brand. Shadow Puppetry. In ICCV, pages 1237-44, 1999.
8. O. Cula and K. Dana. 3D texture recognition using bidirectional feature histograms. IJCV, 59(1):33-60, 2004.
9. W. DeSarbo and W. Cron. A maximum likelihood methodology for clusterwise linear regression. Journal of Classification, (5):249-282, 1988.
10. J. Deutscher, A. Blake, and I. Reid. Articulated Body Motion Capture by Annealed Particle Filtering. In CVPR, 2000.
11. K. Grauman, G. Shakhnarovich, and T. Darell. Inferring 3D structure with a statistical image-based shape model. In ICCV, 2003.
12. N. Howe, M. Leventon, and W. Freeman. Bayesian Reconstruction of 3D Human Motion from Single-Camera Video. NIPS, 1999.
13. M. Isard and A. Blake. CONDENSATION - Conditional Density Propagation for Visual Tracking. IJCV, 1998.
14. M. Jordan and R. Jacobs. Hierarchical mixtures of experts and the EM algorithm. Neural Compulation, (6):181-214, 1994.
15. D. Mackay. Bayesian interpolation. Neural Computation. 4(5):720-736, 1992.
16. A. McCallum, D. Freitag, and F. Pereira. Maximum entropy Markov models for information extraction and segmentation. In ICML, 2000.
17. G. Mori and J. Malik. Estimating human body configurations using shape context matching. In ECCV, 2002.
18. R. Rosales and S. Sclaroff. Eearning Body Pose Via Special-ized Maps. In NIPS, 2002.
19. S. Roth, E. Sigal, and M. Black. Gibbs Eikelihoods for Bayesian Tracking. In CVPR, 2004.
20. G. Shakhnarovich, P. Viola, and T. Darrell, Fast Pose Estimation with Parameter Sensitive Hashing. In ICCV, 2003.
21. E. Sigal, S. Bhatia, S. Roth, M. Black, and M. Isard. Tracking Eoose-limbed People. In CVPR. 2004.
22. C. Sminchisescu and A. Jepson. Generative Modeling for Continuous Non-Einearly Embedded Visual Inference. In ICML, pages 759-766, Banff, 2004.
23. C. Sminchisescu and A. Jepson. Variational Mixture Smoothing for Non-Einear Dynamical Systems. In CVPR. volume 2, pages 608-615, Washington D.C., 2004.
24. C. Sminchisescu, A. Kanaujia, Z. Li, and D. Metaxas. Learning to reconstruct 3D human motion from Bayesian mixtures of experts. A probabilistic discriminative approach. Technical Report CSRG-502, University of Toronto. October 2004.
25. C. Sminchisescu and B. Triggs. Kinematic Jump Processes for Monocular 3D Human Tracking. In CVPR, volume 1. pages 69-76. Madison, 2003.
26. E. Sudderth, A. Ihler, W. Freeman, and A.Wilsky. Non-parametric belief propagation. In CVPR, 2003.
27. M. Tipping. Sparse Bayesian learning and the Relevance Vector Machine. MLR, 2001.
28. C. Tomasi, S. Petrov, and A. Sastry. 3d tracking = classification + interpolation. In ICCV, 2003.
29. S. Waterhouse, D.Mackay, and T.Robinson. Bayesian methods for mixtures of experts. In NIPS, 1996.